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  license: apache-2.0
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ datasets:
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+ - wikipedia
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+ - mc4
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+ - cc100
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+ - oscar-corpus/OSCAR-2301
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+ - oscar-corpus/OSCAR-2201
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+ - cerebras/SlimPajama-627B
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+ language:
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+ - ja
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  ---
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+ # Japanese StableLM-3B-4E1T Base
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+ ## Model Description
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+ This is a 3B-parameter decoder-only language model with a focus on maximizing Japanese language modeling performance and Japanese downstream task performance.
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+ We conducted continued pretraining using Japanese data on the English language model, [StableLM-3B-4E1T](https://huggingface.co/stabilityai/stablelm-3b-4e1t/), to transfer the model's knowledge and capabilities to Japanese.
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+ ## Usage
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+ TODO
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+ ## Model Details
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+ * **Developed by**: [Stability AI](https://stability.ai/)
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+ * **Model type**: `Japanese StableLM-3B-4E1T Base` model is an auto-regressive language models based on the transformer decoder architecture.
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+ * **Language(s)**: Japanese
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+ * **License**: This model is licensed under [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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+ * **Contact**: For questions and comments about the model, please email `lm@stability.ai`
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+ ## Use and Limitations
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+ ### Intended Use
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+ The model is intended to be used by all individuals as a foundational model for application-specific fine-tuning without strict limitations on commercial use.
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+ ### Limitations and bias
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+ The pre-training dataset may have contained offensive or inappropriate content even after applying data cleansing filters which can be reflected in the model-generated text. We recommend users exercise reasonable caution when using these models in production systems. Do not use the model for any applications that may cause harm or distress to individuals or groups.
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+ ## Acknowledgements
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+ We are grateful for the contributions of the EleutherAI Polyglot-JA team in helping us to collect a large amount of pre-training data in Japanese. Polyglot-JA members includes Hyunwoong Ko (Project Lead), Fujiki Nakamura (originally started this project when he commited to the Polyglot team), Yunho Mo, Minji Jung, KeunSeok Im, and Su-Kyeong Jang.
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+ We are also appreciative of [AI Novelist/Sta (Bit192, Inc.)](https://ai-novel.com/index.php) and the numerous contributors from [Stable Community Japan](https://discord.gg/VPrcE475HB) for assisting us in gathering a large amount of high-quality Japanese textual data for model training.